Abstract:
Femto Access Points (FAPs) significantly improve indoor coverage and quality of
service. FAPs are small, inexpensive, low-power base stations that are generally
consumer deployed. However, due to high density of FAPs, many new challenges
have not been sufficiently addressed such as resources allocation and interference
mitigation. In resolving resource allocation problem, user mobility dynamics make it
difficult to associate the best spectrum set of frequency/time resources with each FAP
in order to deliver the users’ data. The problem addressed is the determination of
optimal resource allocation while user mobility dynamics are incorporated based on
their position with time, while maintaining required quality of service (QoS).
Prominent existing solutions which considered centralized, distributed and hybrid
centralized/distributed scalable strategies are studied in literature. However, the
impact of user mobility dynamics was not considered. To utilize spectrum resource
more efficiently, a resource allocation mechanism that exploits the mobility of users
in Orthogonal Frequency Division Multiple Access (OFDMA)-based femtocell
networks known as Mobility-aware Femtocell Cluster-based Resource Allocation (MFCRA)
is presented. M-FCRA anchors upon an existing FCRA algorithm to ensure
optimal resource allocation with mobility-awareness. M-FCRA has been validated by
performing comparison and evaluation with FCRA algorithm. From the simulation
results obtained using LTE-Sim simulator software, M-FCRA outperforms the
existing state-of-the art FCRA approach in terms of Throughput Satisfaction Rate
(TSR) and Spectrum Spatial Re-use (SSR). Moreover, the capacity and quality of
service improvement in the network are of benefit to operators by offloading macrocell
traffic hence low operating expenditures. Finally, users enjoy uninterrupted traffic
indoors under mobility.
